AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 130

Scripts Best practices Engineering Accountability 130

AWS Machine Learning

NOVEMBER 22, 2024

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The diagram shows several accounts and personas as part of the overall infrastructure. The following diagram gives a high-level illustration of the use case.

Government 101

Government Banking Accountability Engineering 101

AWS Machine Learning

JANUARY 31, 2025

Through practical examples, we show you how to adapt this FM to these specific use cases while optimizing computational resources. This diagram illustrates the solution architecture for training and deploying fine-tuned FMs using H-optimus-0 This post provides example scripts and training notebooks in the following GitHub repository.

Healthcare 111

Healthcare Scripts Benchmark SaaS 111

Fonolo

SEPTEMBER 28, 2022

The value is in the timing—customers will give the most accurate accounts of their service experiences shortly after they’ve happened. You might have a carefully crafted questionnaire or script for your after-call survey. Sample After-Call Survey Script. Use this handy sample script as a guide!

Scripts 138

Scripts Surveys Interactive Voice Response Call Center 138

AWS Machine Learning

FEBRUARY 13, 2024

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

Accountability 129

Accountability Government Engineering Scripts 129

AWS Machine Learning

MARCH 11, 2025

The following table provides example questions with their domain and question type. script provided with the CRAG benchmark for accuracy evaluations. The script was enhanced to provide proper categorization of correct, incorrect, and missing responses. Accuracy FloTorch used a modified version of the local_evaluation.py

Benchmark 112

Benchmark APIs Enterprise Scripts 112

AWS Machine Learning

NOVEMBER 15, 2024

For example, you can use Amazon Bedrock Guardrails to filter out harmful user inputs and toxic model outputs, redact by either blocking or masking sensitive information from user inputs and model outputs, or help prevent your application from responding to unsafe or undesired topics.

APIs 112

APIs Government Best practices Metrics 112

ChurnZero

MARCH 10, 2023

We’ll walk through how to write prompts to help you better serve your customers, with examples you can add to your CS toolkit. Use examples : Generative AI relies on preexisting data for context, so it’s helpful to guide them in the right direction from the start. Are you interested in using AI to make your Customer Success job easier?

Scripts 98

Scripts Accountability Feedback Marketing 98

Callminer

AUGUST 1, 2017

Example: Campaign A has a high call volume but campaign B has less calls and the agents that are assigned campaign B are not busy. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Bill Dettering.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 98

Accountability Best practices Scripts Engineering 98

ShepHyken

JUNE 28, 2019

In the contact center industry, for example, there are fewer phone conversations going into customer support centers than in the past. A superagent will be a fast consumer of data and information, making them contextually aware of customer situations — and never needing to rely on a prepackaged script.

Contact Center 291

Contact Center Self service Banking Airlines 291

Callminer

SEPTEMBER 23, 2020

“A good outbound sales script contains a strong connecting statement. ” – Grace Sweeney, 5 Outbound Sales Scripts You Can Adjust on the Fly , Copper; Twitter: @copperinc. For example, keeping them up to date is massively important, as there’s no point in having them if you don’t keep them up to date and act on them.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

AWS Machine Learning

JANUARY 24, 2025

In this post, we show you an example of a generative AI assistant application and demonstrate how to assess its security posture using the OWASP Top 10 for Large Language Model Applications , as well as how to apply mitigations for common threats.

APIs 117

APIs Scripts Best practices Management 117

AWS Machine Learning

DECEMBER 7, 2022

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. We use the MNIST dataset for this example.

Scripts 100

Scripts Metrics Healthcare Accountability 100

AWS Machine Learning

APRIL 11, 2023

One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 97

APIs Accountability Scripts Enterprise 97

AWS Machine Learning

FEBRUARY 12, 2025

For example, when tested on the MT-Bench dataset , the paper reports that Medusa-2 (the second version of Medusa) speeds up inference time by 2.8 For example, you can still use an ml.g5.4xlarge instance with 24 GB of GPU memory to host your 7-billion-parameter Llama or Mistral model with extra Medusa heads. times on the same dataset.

Scripts 79

Scripts Metrics Engineering Accountability 79

AWS Machine Learning

MARCH 8, 2023

After the data is downloaded into the training instance, the custom training script performs data preparation tasks and then trains the ML model using the XGBoost Estimator. Store your Snowflake account credentials in AWS Secrets Manager. Ingest the data in a table in your Snowflake account.

Scripts 133

Scripts Accountability Enterprise Management 133

Callminer

APRIL 30, 2020

” – Gregory Ciotti, Go-To Scripts for Handling 10 Tricky Customer Service Scenarios , Help Scout; Twitter: @helpscout. For example, offering a refund might be necessary, but it shouldn’t be the only customer conflict resolution step you take.” Look for additional insights as you work towards a resolution.

Customer Service 273

Customer Service Scripts Construction Feedback 273

AWS Machine Learning

FEBRUARY 5, 2025

Through this practical example, well illustrate how startups can harness the power of LLMs to enhance customer experiences and the simplicity of Nemo Guardrails to guide the LLMs driven conversation toward the desired outcomes. Lets delve into a basic Colang script to see how it works: define user express greeting "hello" "hi" "what's up?"

Chatbots 112

Chatbots Construction Best practices APIs 112

AWS Machine Learning

FEBRUARY 25, 2025

For example, What are the top sections of the HR benefits policies? We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from. Leave the defaults and choose Next.

Enterprise 105

Enterprise Engineering APIs Accountability 105

AWS Machine Learning

MARCH 27, 2025

We also showcase a real-world example for predicting the root cause category for support cases. For the use case of labeling the support root cause categories, its often harder to source examples for categories such as Software Defect, Feature Request, and Documentation Improvement for labeling than it is for Customer Education.

Education 112

Education Engineering APIs Enterprise 112

AWS Machine Learning

DECEMBER 22, 2023

The agent can assist users with finding their account information, completing a loan application, or answering natural language questions while also citing sources for the provided answers. This memory allows the agent to provide responses that take into account the context of the ongoing conversation.

Scripts 127

Scripts Chatbots Accountability Multi-channel support 127

AWS Machine Learning

JULY 11, 2024

For example, in the legal domain, the same term can have different meanings or implications depending on the context, and these nuances might not be adequately represented in a general-purpose embedding model. The code from this post and more examples are available in the GitHub repo.

Scripts 132

Scripts Accountability APIs Engineering 132

AWS Machine Learning

SEPTEMBER 20, 2023

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. For a complete list of the pre-built Docker images managed by SageMaker, see Docker Registry Paths and Example Code. The Azure CLI.

Scripts 131

Scripts Engineering Accountability Enterprise 131

AWS Machine Learning

FEBRUARY 29, 2024

The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. script is used by pipeline_service.py The model_unit.py

Scripts 127

Scripts Engineering Metrics Best practices 127

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 139

Scripts APIs Engineering industry standards 139

AWS Machine Learning

JULY 2, 2024

Prerequisites To follow along and set up this solution, you must have the following: An AWS account A device with access to your AWS account with the following: Python 3.12 For S3 URI , enter the URI of the previously created S3 bucket (for example, s3://#s3-bucket-name# ). Create an S3 bucket in your account.

APIs 142

APIs Scripts Enterprise Engineering 142

AWS Machine Learning

APRIL 26, 2024

When you select the option to use the SDK, you will see example code that you can use in the notebook editor of your choice in SageMaker Studio. Also make sure you have the account-level service limit for using ml.p4d.24xlarge In this section, we provide some example prompts and sample output. 24xlarge or ml.pde.24xlarge

Transportation 132

Transportation Scripts Accountability Benchmark 132

AWS Machine Learning

JULY 17, 2024

QSI enables insights on your AWS Support datasets across your AWS accounts. First, as illustrated in the Linked Accounts group in Figure 1, this solution supports datasets from linked accounts and aggregates your data using the various APIs, AWS Lambda , and Amazon EventBridge. Synchronize the data source to index the data.

Scripts 127

Scripts APIs Enterprise Accountability 127

AWS Machine Learning

DECEMBER 21, 2023

Typically, call scripts guide agents through calls and outline addressing issues. Well-written scripts improve compliance, reduce errors, and increase efficiency by helping agents quickly understand problems and solutions. The examples are in English; however, Anthropic Claude 2 supports multiple languages.

Contact Center 120

Contact Center Scripts Interactive Voice Response contact center solutions 120

AWS Machine Learning

FEBRUARY 14, 2024

For example, a labeling error like the left-right swap made in the following example can easily be identified by the crossing of the skeleton rig lines and the mismatching of the colors. The following screenshot is an example of the UI. In the following example, we show how this can be applied to label the points of a box truck.

Scripts 131

Scripts Engineering Entertainment Healthcare 131

AWS Machine Learning

JUNE 17, 2024

The following code shows an example of how a query is configured within the config.yml file. Prerequisites To implement the solution provided in this post, you should have an AWS account , a SageMaker domain to access Amazon SageMaker Studio , and familiarity with SageMaker, Amazon S3, and PrestoDB.

Scripts 122

Scripts Engineering Metrics Big data 122

AWS Machine Learning

AUGUST 7, 2024

In our example, the organization is willing to approve a model for deployment if it passes their checks for model quality, bias, and feature importance prior to deployment. Aligning with AWS multi-account best practices The solution outlined in this post spans across several accounts in a given AWS organization.

Government 118

Government Benchmark Scripts Enterprise 118

AWS Machine Learning

NOVEMBER 15, 2023

For example, it can scale the data, perform univariate feature selection, conduct PCA at different variance threshold levels, and apply clustering. For this example, you don’t use a specialized dataset; instead, you work with the California Housing dataset that you will import from Amazon Simple Storage Service (Amazon S3).

Scripts 120

Scripts Best practices Accountability Engineering 120

AWS Machine Learning

MARCH 6, 2024

For example, in 2023, a research team described training a 100 billion-parameter pLM on 768 A100 GPUs for 164 days! In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job. The following diagram illustrates this workflow. apply(lambda x: len(x)).between(100,

Scripts 128

Scripts Biotechnology Healthcare Accountability 128

AWS Machine Learning

AUGUST 5, 2024

Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless. While running deploy.sh, if you provide a bucket name as an argument to the script, it will create a deployment bucket with the specified name.

Scripts 126

Scripts Accountability Education Feedback 126

AWS Machine Learning

AUGUST 1, 2024

The complete flow is shown in the following figure and it covers the following steps: The user invokes a SageMaker training job to fine-tune the model using QLoRA and store the weights in an Amazon Simple Storage Service (Amazon S3) bucket in the user’s account. Model artifacts are copied from the user’s account into an AWS managed S3 bucket.

APIs 127

APIs Scripts Real estate Accountability 127